pgml-qa-llama2-7b-chat

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20000

Training results

Framework versions

• PEFT 0.7.1
• Transformers 4.38.1
• Pytorch 2.1.2+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0